Volume 11 | Issue 7

 Abstract

Abstract: In India, nursing admissions have been increasing steadily, but there is a significant discrepancy between the intake of students and the number of qualified graduates. To address this issue, this research aimed to investigate the qualities and behaviors expected from both nursing faculty and baccalaureate nursing students to enhance the teaching-learning process. A cross-sectional survey was conducted, where participants ranked the top 10 qualities/behaviors from the Teacher Behavior Checklist (TBC) list of 28 items. The study involved 23 nursing faculty members and 86 BSc Nursing students. The results revealed six key factors deemed crucial for effective teaching and learning by both faculty and students: Confidence, Professionalism, Knowledge of Subject Matter, Good Listening Skills, Positive Attitude/Humor, and Student Encouragement. Further research is recommended to explore these aspects across different nursing institutions and to compare views on effective teaching between baccalaureate and associate degree nursing programs.

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eacher Behavior Checklist (TBC), nursing faculty, baccalaureate nursing students, effective teaching, learning process.

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copyright are vital role to the promotion of Indian business, trade and innovation and protection of consumer. copyright law are not within India but global, the international law regarding the copyright protection prescribed in the Paris Convention and the Agreement on Trade-Related Aspects of Intellectual Property Rights (the TRIPs Agreement), it are internationally recognized as minimum standards in the Intellectual property rights administration of every member states.

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what is copyright, objective of copyright, development in copyright, WIPO, WPPT, TRIPS Agreement and copyright.

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Voice feminization is a multifaceted process that encompasses various interventions aimed at aligning the voice of transgender individuals with their gender identity. While increasing vocal pitch is commonly emphasized as a key objective, it is important to recognize that achieving a truly feminine voice involves more than pitch alone. Nevertheless, both surgical and non-surgical approaches have predominantly concentrated on pitch elevation as a primary focus of voice feminization interventions.

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transgender phonosurgery, vocal feminization, voice therapy, vocal pitch, surgical and non- surgical method.

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Intrauterine fetal demise is also called as stillbirth describes the death of fetus inside the uterine cavity. This term is usually adopted for loss of baby at / after 20th week of gestation. There are two types of stillbirths according to the gestational age which includes Early and Late still birth. Early stillbirth occurs from the Gestational week of 20 to 27 which is only insignificantly prevalent than Late stillbirth occurs from the Gestational week of 28 and or above. Centers for Disease Control and Prevention claims that IUFD occurs in 1:100 pregnancies globally. In this case, retro placental hematoma seemed to be associated with sudden IUFD. The death of a fetus in late pregnancy can be disastrous. The nurse's role here is to be fully familiarized with the location of equipment, medications, and emergencies trolley to avoid any delay and chaos. They are expected to be emotionally stable and focused, and also to help the mother through the entire process by providing adequate support.

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Hematoma, Intrauterine fetal death, Postpartum Hemorrhage, Placenta, absence of fetal movement, Fetal Heart Rate.

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Murshidabad Plain is part of the moribund delta. The position of the Bagri tract is within the quadrilateral, bounded by Bhagirathi, and Padma,and partly by Mahananda. In this study region of the river Bhagirathi, flowing from north to south dividing the district into two topographical divisions showing contrasting physical characteristics. The major old river basins in the Bagri tract are described in this paper. The simulated satellite images in MS form and DEM form demarcate the nature of river actions by their dynamic equilibrium. The main features of satellite images are contour, slope, watershed, flow direction etc.

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Moribund delta, Bagri tract, Quadrilateral, Topographical divisions, Flow direction, Watershed.

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This paper introduces a novel hybrid classifier designed to achieve rapid and efficient face recognition by leveraging Local Binary Pattern (LBP) algorithms. Our proposed approach capitalizes on the strengths of LBP-based feature extraction methods while incorporating different classifiers, such as Support Vector Machine (SVM) and Random Forest (RF), to enhance recognition performance. The process involves extracting LBP features from the input face image, which are then utilized as input to the classifiers. By combining these elements, our hybrid classifier achieves high accuracy in face recognition while significantly reducing computational complexity and processing time compared to traditional LBP-based methods. To validate the effectiveness of our approach, we conducted experiments on publicly available face recognition datasets. The experimental results confirm the superiority of our hybrid classifier, making it a suitable choice for real-time face recognition applications.

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Face Recognition, High accuracy using hybrid classifier SVM+RF, Local binary patterns (LBPs) for Feature Extraction.

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KEY WORDS: Knee osteoarthritis Kinesiophobia WOMAC TAMPA scale of Kinesiophobia

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With the rapid evolution of technology and the increasing dependence on digital infrastructure, cybersecurity has become a critical concern for individuals, organizations, and governments. This paper aims to provide a comprehensive review of emerging cybersecurity threats and the countermeasures employed to mitigate these risks. The study investigates the current landscape of cyber threats, including malware, ransomware, social engineering attacks, and advanced persistent threats (APTs). It explores the evolving tactics and techniques used by cybercriminals and highlights the potential impact on various sectors, such as finance, healthcare, and critical infrastructure. Moreover, the paper examines the existing cybersecurity frameworks, policies, and best practices implemented to safeguard against these threats. The paper further evaluates the effectiveness of technological advancements, such as artificial intelligence (AI), machine learning, and blockchain, in enhancing cybersecurity defenses. Finally, it presents recommendations for future research directions and proactive measures to combat emerging cyber threats effectively.

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Cybersecurity, Emerging Threats, Countermeasures, Malware, Ransomware, Social Engineering, Advanced Persistent Threats, Artificial Intelligence, Machine Learning, Blockchain.

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A high quality of work life (QWL) is essential for organizations to continue to attract and retain employees. QWL is a comprehensive program designated to improve employee satisfaction The concept of quality of work life is crucial and plays a significant role in an employee's life. A healthy balance between work and personal life is a sign of a quality work life, which also ensures organizational efficiency and employee job satisfaction. The goal of this study was to identify the significant and influential aspects that affect employees' quality of work life. A procedure in an organization that enables its members at all levels to actively and successfully participate in influencing the organizational environment, processes, and outcomes is known as quality of work life. The subject matter of QWL, including its essential components like job security, job performance, employee satisfaction, etc., is the focus of this study. According to the study's findings, a good organizational culture, remuneration policy, career development, and relative facilities can leads to a satisfied employee mindset which ensure the overall organization productivity.

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Quality of work life, job performance, employee satisfaction

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The COVID-19 pandemic has necessitated the development of safe and effective vaccines to manipulate the unfold of the SARS-CoV-2 virus. Covaxin, an inactivated virus-based totally vaccine evolved through Bharat Biotech, has emerged as a promising candidate on this worldwide attempt. This summary offers a succinct review of Covaxin, that specialize in its components, mechanism of motion, efficacy, safety profile, and international deployment. Covaxin is formulated the usage of inactivated SARS-CoV-2 virus particles, rendering them incapable of replication while maintaining their ability to stimulate an immune response. by using introducing the inactivated virus into the body, Covaxin triggers an immune reaction that primes the immune device to recognize and neutralize the real SARS-CoV-2 virus upon exposure. The vaccine consists of adjuvants to decorate the immune response. Covaxin is formulated the usage of inactivated SARS-CoV-2 virus particles, rendering them incapable of replication while maintaining their ability to stimulate an immune response. by using introducing the inactivated virus into the body, Covaxin triggers an immune reaction that primes the immune device to recognize and neutralize the real SARS-CoV-2 virus upon exposure. The vaccine consists of adjuvants to decorate the immune response. clinical trials have proven Covaxin to be effective in stopping COVID-19. segment three trials carried out in India have confirmed an usual efficacy of around eighty one%, indicating its ability in decreasing the severity of the ailment and its impact on healthcare structures. Covaxin has also displayed immunogenicity, generating a strong antibody response in opposition to the SARS-CoV-2 spike protein. safety is a crucial attention, and Covaxin has gone through rigorous assessment to make certain its pleasant and reduce adverse effects. segment 3 medical trials have stated a favourable protection profile, with most people of unfavourable events being moderate and temporary, along with localized ache and mild flu-like signs. serious adverse occasions had been uncommon, underscoring the vaccine's general protection.

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Classifications Causes of Covid - 19 Diagnosis Tests Factors Contributing to Development of Covaxin Treatment of Covid-19 by Covaxin Vaccine Use of Covaxin Vaccine

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A cosmological model is a mathematical description of the universe, which tries to explain the reason of current aspect, and to describe its evolution during time. The universe is homogeneous and isotropic. In this paper we have studied Bianchi Type- V cosmological model in presence of perfect fluid within the frame work of f(R,T) gravity, where R is Ricci scalar and T is the trace of the source matter. Here we consider first case of the f(R,T) model i.e. f(R,T)=R+2f(T), it is also possible to make progress towards solving the cosmological constant problem.

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Bianchi type-V universe, f(R,T) theory, deceleration parameter

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Social media has developed into a forum where users may express their views and object to the decisions made by corporations and the government. Every internet user has the ability to express themselves on these sites. India's government recently approved three acts pertaining to farmers, which are being opposed by the country's citizens, especially its farmers. The farming community and other related communities are alarmed by the way these crimes are being carried out. At least 70% people in India have utilized social media platforms to express their displeasure with these acts and to voice their opposition to them. In more than one language, various communities have voiced their feelings over these acts. It is currently challenging for scholars to study the attitudes on these platforms due to the blending of many languages and grammatical systems. This study uses a statistical technique to analyze mood, emotion, and emoji in a collection of English-language tweets on farmers' protests. The performance and accuracy of the Models are also a major focus of this work.

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Sentiment, Emoji , Emotion Analysis, Statistical technique

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A 7years old child admitted in pediatric ward with chief complaints of fever since morning, one episode of seizure activity ,10 episodes of stools. febrile seizures are the most frequent of seizure disorder in childhood. evaluated in OP showed the result of febrile seizures. She has a past history of developed loose stools sudden onset of watery inconsistency. But not blood tinged or not associated with vomiting's. Then in the morning she developed sudden onset of high grade fever, which is relieved on medication. It is associated with rash,1 episode of seizures activity. The sign include ;up rolling of eyes, fisting of hand. But not associated with deviation of mouth, and no urine incontinence. No signs of dehydration was found. Initial investigation were done. Then she was started with IVF ( RL-23ml/hr.),antibiotics (ceftriaxone), benzodiazepines ( frisium, midazolam) probiotic(enterogenia).

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FS(febrile seizures), LP( lumbar puncture), MTS ( mesial temporal sclerosis).

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Walking is a fundamental human movement that plays a vital role in daily life. To understanding the energy expenditure associated with various pace walk is essential for designing effective exercise programs and promoting health and well-being. This research article provides a broad review of the current scientific literature on energy expenditure through the pace of walking. It examines the factors influencing energy expenditure during walking and explores the implications for physical fitness, weight management, and cardiovascular health. It also confers the potential implication of this knowledge in various fields, such as exercise prescription, public health interventions, and wearable technology development. This aims to investigate the energy expenditure associated with different walking paces and provide a comprehensive analysis of the relationship between pace and energy expenditure.

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MET, Walk, paces, energy expenditure, metabolic rate.

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Facial expression recognition is a crucial aspect of understanding customer emotions in various domains, including e-commerce. This study proposes a real-time facial expression recognition system utilizing a Convolutional Neural Network (CNN) algorithm specifically designed for analyzing customer feedback on e-commerce websites. The proposed system is integrated into the feedback analysis module of an e-commerce website to enable real-time monitoring of customer emotions. By analyzing facial expressions, the system can provide valuable insights into customer satisfaction, frustration, or other emotions while navigating the website. This information can then be used to improve the overall user experience, identify potential issues, and optimize the site's design and functionality

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Convolutional neural network, Deep neural networks, Deep structured learning, Machine learning

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In this paper, we discuss with the existence of mild solutions as well as approximate controllability of a class of fractional order delay differential control systems with impulse is investigated in this study under the natural premise that the linear system is approximately controllable. The existence of the mild solution to the above mentioned system were determined by using the resolvent operator theory Schauder's fixed point theorem. We present an example.

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Approximate Controllability; Fractional Differential Equations; Semi-linear Control Systems; Delay Differential Equations; Nonlocal Conditions.

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The environmental quality is relative in nature. It varies over time and space. The present study focused on living conditions in the slum from the physical and social aspects. It is a case study on the slums of Puri urban area. The study is based on both secondary and primary data. Primary data has collected directly from the field by the researcher. Simple Random Sampling, questionnaire survey, and different statistical techniques like frequency distribution, coefficient of correlation has been adopted as the methodology for the present study. Result, discussion and suggestions based on the result of statistical analysis.

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Squatter Settlement, Quality of Life, Dwelling Unit, Breeding Ground for criminals

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He was an Indian attorney, a prominent leader of the Indian National Congress, and a Republic of India founding father who led the country's war for independence and supervised its merger into a single, independent nation. Following this, the British Government invited Nehru to establish the Interim Government. If Sardar Patel had been elected as the President of the Congress, he may have been the country's first Prime Minister. Sardar Patel served as Deputy Prime Minister, Home Minister, Information Minister, and Minister of State during India's first three years of independence Sardar Patel may not have been India's first Prime Minister, but he will always be remembered as the father of a unified India. He was India's first Deputy Prime Minister after independence. Patel was named India's Home Minister on the country's first anniversary of independence. He was also in charge of the States Department and the Ministry of Information and Broadcasting. Patel, India's first Home Minister and Deputy Prime Minister, led relief operations for refugees leaving Punjab and Delhi and attempted to restore calm.

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Sardar Vallabhbhai Patel, Personal study, Political Study, Indian leader, India

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State-of-the-art networks generate a huge amount of company data channels. Labeling these dates is essential for people of color, plus support for network tapes and cyber security scanning. There is an urgent need for data logic styles, which can perform online network data processing according to the emergence of new model dates. Online Machine Learning (OL) promises to support a similar type of data analysis. In this document, we examine and compare the LO methods that facilitate the analysis of data blocks in the web domain. We also examine the importance of business data analysis and highlight the benefits of internet literacy in this context and the challenges in analyzing the business block of a network based on OL technology, e.g. drifts and unbalanced classes. Let's look at the data flow processing tools and frameworks that can be used for online or on-the-fly processing of this data with its advantages and disadvantages and its inerrability into the de facto system data processing framework. To test the performance of OL techniques, we empirically evaluate the performance of various tree-based and ensemble-based network traffic classification algorithms. Finally, presented the open questions and future directions of traffic data flow analysis. This technical study provides valuable information and insight to the network research community when it comes to meeting requirements and the goals of online data flow analysis and network domain learning.

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Machine learning, Online learning, Network traffic streams, Network traffic classification Internet of Things Deep Learning.

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ABSTRACT A Quasi experimental study to assess the effectiveness of rhythmic breathing exercise on pain perception in primi gravida mother during the first stage of labour in selected Government hospital of Ghaziabad by Ms.Priyanka Singh in partial fulfillment of the requirement for the degree of masters of science in nursing at Santosh nursing college, Chaudhary Charan Singh university Meerut during the year 2017 - 2018. This study was undertaken with the objectives to: (1) To assess pain intensity level among the primi gravida mother during first stage of labor in experimental and control group. (2) To determine the effectiveness of breathing exercise on pain among primi gravida mother during first stage in experimental group. (3) To determine the association between pain perception of primi gravida mother during first stage of labor in experimental group with selection demographic variables. The study was conducted at M.M.G. female Government hospital Ghaziabad purposive sampling technique was used to obtained adequate samples. The samples comprised of 30 experimental group samples and 30 control group samples undergoing rhythmic breathing exercise. The conceptual framework of the study is based in general system model by Ludwig von bertlanfly, in 1992. Quantitative research approach was adopted for the study with one group quasi experimental pretest posttest control group design. The tool used for the data collection as structured interview schedule for demographic variables and visual Analog Scale tool for assess the pain level. Content validity of the tool was done by 7 experts from the field of Obstetrics and Gynecology in nursing. The data was collected for three weeks, Subjects were asked to do regular rhythmic breathing exercise before, during and after contraction. The obtained data was analyzed using both descriptive and inferential statistics in terms of frequency, percentage, mean, standard deviation, t value, p value, chi - square. Major findings of the study are majority of the samples were in age group of 20 to 25 years. Mean post exercise efficacy score was higher than the mean pre test score. To obtain the difference between experimental and control group pre and post test exercise efficacy score was found that there was difference in pain perception among primi gravida mother before, during and after Rhythmic Breathing Exercise during first stage of labor. The findings of the study revealed that implementation of rhythmic breathing Exercise were effective for experimental group in decrease pain intensity. Majority of patient felt relaxed during exercise. Rhythmic Breathing exercise is non- invasive , non - pharmacological and effective mean which can be used for primi gravida mother patient as a routine practice. Based on the research finding further recommendation also given. Key words: Rhythmic Breathing Exercise, pain perception, first stage of labor.

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: Rhythmic Breathing Exercise, pain perception, first stage of labor

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